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Amazon Rekognition

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Amazon Rekognition vs OpenCV: What are the differences?

Introduction

In this markdown, we will be discussing the key differences between Amazon Rekognition and OpenCV, two popular computer vision tools.

  1. Scalability: Amazon Rekognition is a cloud-based solution that can automatically scale to handle large volumes of image and video analysis tasks, making it suitable for applications that require high scalability. On the other hand, OpenCV is a library that runs on local machines, limiting its scalability to the hardware it is installed on.

  2. Pre-built models: Amazon Rekognition provides pre-trained models for various computer vision tasks such as object and scene detection, facial analysis, and text recognition. These pre-built models enable developers to quickly integrate complex computer vision capabilities into their applications without the need for extensive training. OpenCV, on the other hand, does not provide pre-built models and requires developers to implement and train their own models from scratch.

  3. Deep learning support: Amazon Rekognition utilizes deep learning algorithms for image and video analysis tasks. It leverages advanced neural network models to perform tasks such as object recognition and facial analysis with high accuracy. OpenCV, on the other hand, provides support for deep learning frameworks like TensorFlow and PyTorch, allowing developers to integrate their own trained models into their computer vision workflows.

  4. Integration with other AWS services: Amazon Rekognition seamlessly integrates with other AWS services such as Amazon S3, Amazon DynamoDB, and Amazon CloudWatch. This integration enables developers to easily store and retrieve images and videos from Amazon S3, use Amazon DynamoDB for storing metadata associated with analyzed images, and monitor the analysis tasks through Amazon CloudWatch. OpenCV does not provide the same level of integration with cloud services and requires manual implementation for such functionalities.

  5. Accuracy: Amazon Rekognition leverages advanced deep learning models and extensive training to provide high accuracy in computer vision tasks. It excels in tasks such as facial recognition and scene detection, and performs well even in challenging scenarios. OpenCV, while being a powerful computer vision library, may not achieve the same level of accuracy as Amazon Rekognition due to differences in the underlying models and training methods.

  6. Pricing: Amazon Rekognition is a paid service that charges based on the number of images and videos processed, with additional fees for additional features like facial analysis. OpenCV, on the other hand, is an open-source library that is free to use, making it a cost-effective option for developers who do not require the scalability and additional features provided by Amazon Rekognition.

In summary, Amazon Rekognition offers greater scalability, pre-built models, deep learning support, integration with other AWS services, higher accuracy, but comes at a cost. OpenCV, while free to use, lacks the same scalability, pre-trained models, and integration with cloud services, but provides flexibility for developers to implement their own models.

Decisions about Amazon Rekognition and OpenCV
Vladyslav Holubiev
Sr. Directory of Technology at Shelf · | 1 upvote · 49.3K views

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

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Pros of Amazon Rekognition
Pros of OpenCV
  • 4
    Integrate easily with AWS
  • 37
    Computer Vision
  • 18
    Open Source
  • 12
    Imaging
  • 10
    Face Detection
  • 10
    Machine Learning
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Helping almost CV problem
  • 2
    Image Augmentation

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Cons of Amazon Rekognition
Cons of OpenCV
  • 1
    AWS
    Be the first to leave a con

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    What is Amazon Rekognition?

    Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

    What is OpenCV?

    OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

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    What companies use Amazon Rekognition?
    What companies use OpenCV?
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    What tools integrate with Amazon Rekognition?
    What tools integrate with OpenCV?

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    What are some alternatives to Amazon Rekognition and OpenCV?
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    JavaScript
    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
    Git
    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
    GitHub
    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
    Python
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    See all alternatives